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mlfoundations-dev/Nemotron-Research-Reasoning-Qwen-1.5B_eval_5554

mlfoundations-dev/Nemotron-Research-Reasoning-Qwen-1.5B_eval_5554 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces HLE HMMT AIME25 LiveCodeBenchv5 Accuracy 47.7 87.5 86.0 32.3 52.6 41.8 31.4 54.7 40.3 10.5 21.7 32.0 22.6 AIME24 Average Accuracy: 47.67% ± 1.49% Number of Runs: 10 Run Accuracy Questions… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/Nemotron-Research-Reasoning-Qwen-1.5B_eval_5554.

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mlfoundations-dev/Nemotron-Research-Reasoning-Qwen-1.5Beval5554

Precomputed model outputs for evaluation.

Evaluation Results

Summary

MetricAIME24AMC23MATH500MMLUProJEEBenchGPQADiamondLiveCodeBenchCodeEloCodeForcesHLEHMMTAIME25LiveCodeBenchv5
Accuracy47.787.586.032.352.641.831.454.740.310.521.732.022.6

AIME24

  • —Average Accuracy: 47.67% ± 1.49%
  • —Number of Runs: 10
RunAccuracyQuestions SolvedTotal Questions
153.33%1630
240.00%1230
343.33%1330
453.33%1630
550.00%1530
653.33%1630
743.33%1330
843.33%1330
950.00%1530
1046.67%1430

AMC23

  • —Average Accuracy: 87.50% ± 0.94%
  • —Number of Runs: 10
RunAccuracyQuestions SolvedTotal Questions
192.50%3740
282.50%3340
390.00%3640
487.50%3540
585.00%3440
685.00%3440
790.00%3640
885.00%3440
987.50%3540
1090.00%3640

MATH500

  • —Accuracy: 86.00% | Accuracy | Questions Solved | Total Questions | |----------|-----------------|----------------| | 86.00% | 430 | 500 |

MMLUPro

  • —Accuracy: 32.33% | Accuracy | Questions Solved | Total Questions | |----------|-----------------|----------------| | 32.33% | N/A | N/A |

JEEBench

  • —Average Accuracy: 52.64% ± 0.55%
  • —Number of Runs: 3
RunAccuracyQuestions SolvedTotal Questions
152.14%268.5515
251.80%266.75515
353.98%278.0515

GPQADiamond

  • —Average Accuracy: 41.75% ± 0.36%
  • —Number of Runs: 3
RunAccuracyQuestions SolvedTotal Questions
141.92%83198
242.42%84198
340.91%81198

LiveCodeBench

  • —Average Accuracy: 31.38% ± 0.13%
  • —Number of Runs: 3
RunAccuracyQuestions SolvedTotal Questions
131.51%161511
231.12%159511
331.51%161511

CodeElo

  • —Average Accuracy: 54.73% ± 0.39%
  • —Number of Runs: 3
RunAccuracyQuestions SolvedTotal Questions
153.96%211391
254.99%215391
355.24%216391

CodeForces

  • —Average Accuracy: 40.25% ± 0.85%
  • —Number of Runs: 3
RunAccuracyQuestions SolvedTotal Questions
141.94%190453
239.29%178453
339.51%179453

HLE

  • —Average Accuracy: 10.46% ± 0.27%
  • —Number of Runs: 3
RunAccuracyQuestions SolvedTotal Questions
110.14%52513
211.11%57513
310.14%52513

HMMT

  • —Average Accuracy: 21.67% ± 0.85%
  • —Number of Runs: 10
RunAccuracyQuestions SolvedTotal Questions
120.00%630
220.00%630
323.33%730
423.33%730
526.67%830
620.00%630
723.33%730
820.00%630
923.33%730
1016.67%530

AIME25

  • —Average Accuracy: 32.00% ± 1.35%
  • —Number of Runs: 10
RunAccuracyQuestions SolvedTotal Questions
126.67%830
230.00%930
330.00%930
430.00%930
540.00%1230
633.33%1030
730.00%930
836.67%1130
936.67%1130
1026.67%830

LiveCodeBenchv5

  • —Average Accuracy: 22.58% ± 2.43%
  • —Number of Runs: 3
RunAccuracyQuestions SolvedTotal Questions
126.83%99369
218.43%68369
322.49%83369